Part 4: Deterministic Networks for Physical AI
Why best-effort networking is not enough for Physical AI, and how Deterministic Ethernet (TSN) solves the temporal synchronization problem.
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Essays and technical notes on distributed systems, networking, cloud infrastructure, edge computing and AI-ready platforms.
Part 5: The Memory Wall — Storing Reality for World Models
How to curate, store, and process continuous multimodal reality streams for World Model learning and simulation.
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Part 3: The Compute Split - Edge vs Cloud in Physical AI
Physical AI cannot rely on cloud latency for real-time control. Explore how edge inference and cloud simulation divide the compute, data, and learning workloads.